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First 932 results for ” A Sato”

  1. Mistdetectie en signalering (Programma Gevaarlijk Weer, Project Verwachtingen voor mist en lage stratus)

    Mist kan een regionaal maar ook zeer plaatselijk karakter hebben. Het landelijk meetnet met zicht...

    JP van der Meulen | Year: 2007 | Pages: 28

    Publication

  2. Improving Neutral Density Predictions Using Exospheric Temperatures Calculated on a Geodesic, Polyhedral Grid

    A new model of exospheric temperatures has been developed, with the objective of predicting globa...

    DR Weimer, PM Mehta, WK Tobiska, E Doornbos, MG Mlynczak, DP Drob, JT Emmert | Status: published | Journal: Space Weather | Volume: 18 | Year: 2020 | doi: 10.1029/2019SW002355

    Publication

  3. An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2

    Global tropospheric ozone reanalyses constructed using different state-of-the-art satellite data ...

    V Huijnen, K Miyazaki, J Flemming, A Inness, T Sekiya, MG Schultz | Status: published | Journal: Geoscientific Model Development | Year: 2020 | First page: 1513 | Last page: 1544 | doi: https://doi.org/10.5194/gmd-13-1513-2020

    Publication

  4. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation

    Stratosphere-to-troposphere transport (STT) is an important natural source of tropospheric ozone,...

    D Akritidis, E Katragkou, P Zanis, I Pytharoulis, D Melas, J Flemming, A Inness, H Clark, M Plu, H Eskes | Status: published | Journal: Atm. Chem. Phys. | Volume: 18 | Year: 2018 | First page: 15515 | Last page: 15534 | doi: https://doi.org/10.5194/acp-18-15515-2018

    Publication

  5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

    The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

    X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

    Publication